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All publications by Yves Grandvalet
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Optimizing F-Measures by Cost-Sensitive Classification
Shameem P. Parambath, Nicolas Usunier and Yves Grandvalet
Advances in Neural Information Processing Systems 27, 2014


An Efficient Approach to Sparse Linear Discriminant Analysis
Luis Merchante, Yves Grandvalet and Gérrad Govaert
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Composite kernel learning
Marie Szafranski, Yves Grandvalet and Alain Rakotomamonjy
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


A distance model for rhythms
Jean-françcois Paiement, Yves Grandvalet, Samy Bengio and Douglas Eck
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Support Vector Machines with a Reject Option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet and Stéphane Canu
Advances in Neural Information Processing Systems 21, 2008


More efficiency in multiple kernel learning
Alain Rakotomamonjy, Stéphane Canu, Yves Grandvalet and Francis R. Bach
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Sparse probabilistic classifiers
Romain Hérault and Yves Grandvalet
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Hierarchical Penalization
Marie Szafranski, Yves Grandvalet and Pierre Morizet-mahoudeaux
Advances in Neural Information Processing Systems 20, 2007


Semi-supervised Learning by Entropy Minimization
Yves Grandvalet and Yoshua Bengio
Advances in Neural Information Processing Systems 17, 2004


No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
Journal of Machine Learning Research, 2004


No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
Advances in Neural Information Processing Systems 16, 2003


Adaptive Scaling for Feature Selection in SVMs
Yves Grandvalet and Stéphane Canu
Advances in Neural Information Processing Systems 15, 2002


Semi-supervised MarginBoost
Florence D'alché-buc, Yves Grandvalet and Christophe Ambroise
Advances in Neural Information Processing Systems 14, 2001